How to learn a graph from smooth signals

11 January 2016

Papers citing "How to learn a graph from smooth signals"

50 / 170 papers shown

Title
It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph Harel Mendelman Haggai Maron Ronen Talmon 17 0 0 18 May 2025
GraphFLEx: Structure Learning Framework for Large Expanding Graphs Mohit Kataria Nikita Malik Sandeep Kumar Jayadeva GNN 36 0 0 18 May 2025
Joint Graph Estimation and Signal Restoration for Robust Federated Learning Tsutahiro Fukuhara Junya Hara Hiroshi Higashi Yuichi Tanaka FedML 4 0 0 16 May 2025
Learning Kronecker-Structured Graphs from Smooth Signals Changhao Shi Gal Mishne 29 0 0 14 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision Aditya Hemant Shahane Prathosh A.P Sandeep Kumar CLL 28 0 0 07 Apr 2025
Cramer-Rao Bounds for Laplacian Matrix Estimation Morad Halihal T. Routtenberg H. Vincent Poor 24 0 0 06 Apr 2025
Scalable Hypergraph Structure Learning with Diverse Smoothness Priors Benjamin T. Brown Haoxiang Zhang Daniel L. Lau Gonzalo R. Arce 33 0 0 04 Apr 2025
Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data Samuel Rey Ernesto Curbelo Luca Martino F. Llorente Antonio G. Marques 44 0 0 25 Mar 2025
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes Keyue Jiang Bohan Tang Xiaowen Dong Laura Toni 46 0 0 11 Mar 2025
Learning Sheaf Laplacian Optimizing Restriction Maps Leonardo Di Nino Sergio Barbarossa P. Di Lorenzo 59 0 0 31 Jan 2025
Online Graph Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac Fibrillation Alexander Jenkins Thiernithi Variddhisai Ahmed El-Medany F. Ng Danilo Mandic AI4TS 30 0 0 03 Nov 2024
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data Óscar Escudero-Arnanz C. Soguero-Ruíz Antonio G. Marques AI4TS 41 0 0 01 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 47 2 0 28 Oct 2024
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs Haolin Li Luana Ruiz Luana Ruiz 42 0 0 22 Oct 2024
Online Proximal ADMM for Graph Learning from Streaming Smooth Signals Hector Chahuara Gonzalo Mateos 39 0 0 19 Sep 2024
Online Network Inference from Graph-Stationary Signals with Hidden Nodes Andrei Buciulea Madeline Navarro Samuel Rey Santiago Segarra Antonio G. Marques GNN 32 1 0 13 Sep 2024
Online Learning Of Expanding Graphs Samuel Rey Bishwadeep Das Elvin Isufi 19 1 0 13 Sep 2024
Non-negative Weighted DAG Structure Learning Samuel Rey S. S. Saboksayr Gonzalo Mateos CML 50 0 0 12 Sep 2024
Efficient Learning of Balanced Signed Graphs via Iterative Linear Programming Haruki Yokota Hiroshi Higashi Yuichi Tanaka Gene Cheung 23 0 0 12 Sep 2024
Graph Structure Learning with Interpretable Bayesian Neural Networks Max Wasserman Gonzalo Mateos CML 48 6 0 20 Jun 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 44 7 0 22 May 2024
Introducing Graph Learning over Polytopic Uncertain Graph Masako Kishida Shunsuke Ono 16 1 0 12 Apr 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction Jhon A. Castro-Correa Jhony H. Giraldo Mohsen Badiey Fragkiskos D. Malliaros 46 7 0 28 Mar 2024
MAPL: Model Agnostic Peer-to-peer Learning Sayak Mukherjee Andrea Simonetto Hadi Jamali Rad 41 0 0 28 Mar 2024
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection Xiangrui Cai Yang Wang Sihan Xu Hao Li Ying Zhang Zheli Liu Xiaojie Yuan 43 2 0 14 Mar 2024
Learning Cartesian Product Graphs with Laplacian Constraints Changhao Shi Gal Mishne 29 1 0 12 Feb 2024
Multiview Graph Learning with Consensus Graph Abdullah Karaaslanli Selin Aviyente 21 2 0 24 Jan 2024
Joint Signal Recovery and Graph Learning from Incomplete Time-Series Amirhossein Javaheri Arash Amini F. Marvasti Daniel P. Palomar 29 2 0 28 Dec 2023
Diffusion Maps for Signal Filtering in Graph Learning Todd Hildebrant DiffM 28 0 0 22 Dec 2023
Chasing Fairness in Graphs: A GNN Architecture Perspective Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu 47 4 0 19 Dec 2023
Learning graphs and simplicial complexes from data Andrei Buciulea Elvin Isufi G. Leus Antonio G. Marques 28 5 0 16 Dec 2023
Improving embedding of graphs with missing data by soft manifolds Andrea Marinoni Pietro Lio Alessandro Barp Christian Jutten Mark Girolami 41 0 0 29 Nov 2023
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning Xiang Zhang Qiao Wang 33 3 0 23 Nov 2023
Kernel-based Joint Multiple Graph Learning and Clustering of Graph Signals M. H. Alizade Aref Einizade Jhony H. Giraldo 36 0 0 29 Oct 2023
Learning to Learn Financial Networks for Optimising Momentum Strategies Xingyue Pu S. Zohren Stephen J. Roberts Xiaowen Dong AIFin 23 3 0 23 Aug 2023
Network Momentum across Asset Classes Xingyue Pu Stephen J. Roberts Xiaowen Dong S. Zohren AIFin 19 3 0 22 Aug 2023
AbDiffuser: Full-Atom Generation of in vitro Functioning Antibodies Karolis Martinkus J. Ludwiczak Kyunghyun Cho Weishao Lian J. Lafrance-Vanasse ... A. Rajpal Yunsheng Wu Richard Bonneau Vladimir Gligorijević Andreas Loukas DiffM 41 37 0 28 Jul 2023
Edgewise outliers of network indexed signals Christopher Rieser A. Ruiz-Gazen C. Thomas-Agnan 9 0 0 20 Jul 2023
Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks Eduardo Sebastián T. Duong Nikolay Atanasov Eduardo Montijano C. Sagüés 26 2 0 10 Jul 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 24 12 0 20 Jun 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu Wen-Long Zhao Chenxiao Yang Hengrui Zhang Fan Nie Haitian Jiang Yatao Bian Junchi Yan AI4CE 48 78 0 19 Jun 2023
Graph Laplacian Learning with Exponential Family Noise Changhao Shi Gal Mishne 39 2 0 14 Jun 2023
Bures-Wasserstein Means of Graphs Isabel Haasler P. Frossard 11 1 0 31 May 2023
Free Lunch for Privacy Preserving Distributed Graph Learning Nimesh Agrawal Nikita Malik Sandeep Kumar 24 0 0 18 May 2023
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models Ziheng Cheng Junzi Zhang Akshay Agrawal Stephen P. Boyd 32 0 0 04 May 2023
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees Shangyuan Liu Lingling Zhu Anthony Man-Cho So 27 1 0 02 May 2023
Distributional Signals for Node Classification in Graph Neural Networks Feng Ji See Hian Lee Kai Zhao Wee Peng Tay Jielong Yang 16 2 0 07 Apr 2023
Gradient scarcity with Bilevel Optimization for Graph Learning Hashem Ghanem Samuel Vaiter Nicolas Keriven 91 0 0 24 Mar 2023
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements Ying Zhang Zhiqiang Zhao Zhuo Feng 38 2 0 09 Feb 2023